High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

With an awards season and year-end lists that tend to favor films that have been released in the last few months, many things ...

To do the method, begin by writing the two numbers you want to multiply at the top of two columns. In the left column, you ...

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...

Learn everything you need to know about iShares Expanded Tech-Software Sect ETF (IGV) and how it ranks compared to other funds. Research performance, expense ratio, holdings, and volatility to see if ...

Genome assembly algorithms are sets of well defined procedures for reconstructing DNA sequences from large numbers of shorter DNA sequence fragments. Fragments are aligned against one another and ...

IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more. This 16-page pamphlet was printed on ...

Ministers are seeking to ramp up police use of facial recognition to fight crime and are asking people how it should be used to form new laws. A 10-week consultation is being launched that will ask ...

Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.

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